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Broadband network user information mining

Author: LiuWei
Tutor: LeiZhenMing
School: Beijing University of Posts and Telecommunications
Course: Signal and Information Processing
Keywords: Data Mining Network User Behavior Analysis Massive data processing User preferences
CLC: TP311.13
Type: Master's thesis
Year: 2011
Downloads: 52
Quote: 0
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The rapid development of information technology and the Internet network applications become increasingly popular today , more and more people to obtain information through the Internet , which makes the rapid development of communication networks , it also brings surge in the number of users . However, when the number of users tends to be stable , the operator's business development will encounter bottlenecks , how extensive operation to the refinement of various carriers operating transformed into an important topic. Network on an increasingly competitive economy , only to win users can ultimately win a competitive advantage. Network User Behavior Analysis as an effective management and decision support approach that has emerged and has been applied to all levels of society . In many important industries , such as retail , finance, telecommunications and insurance industries, has accumulated a large amount of historical data , policy-makers hope that such vast amounts of user behavior data , discover hidden behind a large number of business operations and user classification association rules and other information, to grasp the user behavior characteristics and laws of prediction for new users to quickly and intuitively view the different business income , regional differences, business needs change , the proportion of various types of information such as users , reduce operating costs , providing customers with more personalized service through a number of software, we can get the network user packets , then we can analyze these messages to analyze user behavior. This paper studied the data mining and the significance of network behavior analysis , and mass data processing method used to study , in order to design a set of data suitable for handling network data processing module , and use the results of the network as well as a preliminary analysis of user behavior deeper analysis of user preferences . Finally, the next step is to improve and expand areas were discussed.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Programming > Database theory and systems
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